{"id":"https://openalex.org/W2810736007","doi":"https://doi.org/10.1109/fskd.2017.8393149","title":"An object tracking method based on CNN and optical flow","display_name":"An object tracking method based on CNN and optical flow","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2810736007","doi":"https://doi.org/10.1109/fskd.2017.8393149","mag":"2810736007"},"language":"en","primary_location":{"id":"doi:10.1109/fskd.2017.8393149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5049727437","display_name":"Luyue Lin","orcid":"https://orcid.org/0000-0002-6335-0361"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Luyue Lin","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100461686","display_name":"Bo Liu","orcid":"https://orcid.org/0000-0002-8158-4129"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Liu","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009705946","display_name":"Yanshan Xiao","orcid":"https://orcid.org/0000-0002-5788-042X"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanshan Xiao","raw_affiliation_strings":["School of Automation, Guangdong University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5049727437"],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":0.2731,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.6653637,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":97},"biblio":{"volume":"38","issue":null,"first_page":"24","last_page":"31"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/optical-flow","display_name":"Optical flow","score":0.7750370502471924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7528141736984253},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.741092324256897},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.7101277709007263},{"id":"https://openalex.org/keywords/video-tracking","display_name":"Video tracking","score":0.6544727683067322},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5171101093292236},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.5091802477836609},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4933580458164215},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.46264326572418213},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.453710675239563},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.337810218334198},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3267565369606018},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2675654888153076}],"concepts":[{"id":"https://openalex.org/C155542232","wikidata":"https://www.wikidata.org/wiki/Q736111","display_name":"Optical flow","level":3,"score":0.7750370502471924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7528141736984253},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.741092324256897},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.7101277709007263},{"id":"https://openalex.org/C202474056","wikidata":"https://www.wikidata.org/wiki/Q1931635","display_name":"Video tracking","level":3,"score":0.6544727683067322},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5171101093292236},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.5091802477836609},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4933580458164215},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.46264326572418213},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.453710675239563},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.337810218334198},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3267565369606018},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2675654888153076},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fskd.2017.8393149","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fskd.2017.8393149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4099999964237213,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W823218635","https://openalex.org/W1530262073","https://openalex.org/W1560733133","https://openalex.org/W1807914171","https://openalex.org/W1986426688","https://openalex.org/W2016309246","https://openalex.org/W2024029849","https://openalex.org/W2025768430","https://openalex.org/W2026400262","https://openalex.org/W2034801832","https://openalex.org/W2044986361","https://openalex.org/W2047237558","https://openalex.org/W2049457635","https://openalex.org/W2060814785","https://openalex.org/W2062634420","https://openalex.org/W2063768196","https://openalex.org/W2071039340","https://openalex.org/W2089961441","https://openalex.org/W2098941887","https://openalex.org/W2109579504","https://openalex.org/W2124211486","https://openalex.org/W2125337786","https://openalex.org/W2127575804","https://openalex.org/W2132103241","https://openalex.org/W2143715815","https://openalex.org/W2145094598","https://openalex.org/W2153256626","https://openalex.org/W2155243759","https://openalex.org/W2156137575","https://openalex.org/W2158592639","https://openalex.org/W2161406034","https://openalex.org/W2161969291","https://openalex.org/W2162383208","https://openalex.org/W2162919312","https://openalex.org/W2163808566","https://openalex.org/W2165037244","https://openalex.org/W2165700088","https://openalex.org/W2165797462","https://openalex.org/W2170865122","https://openalex.org/W2293873019","https://openalex.org/W2327631919","https://openalex.org/W2613779721","https://openalex.org/W2953267151","https://openalex.org/W2986028972","https://openalex.org/W2997574889","https://openalex.org/W3097096317","https://openalex.org/W6631660994","https://openalex.org/W6633795679","https://openalex.org/W6638399501","https://openalex.org/W6662317391","https://openalex.org/W6665839387","https://openalex.org/W6681096077","https://openalex.org/W6683886257","https://openalex.org/W6684332838","https://openalex.org/W6697639392"],"related_works":["https://openalex.org/W4293226380","https://openalex.org/W4386083130","https://openalex.org/W4321487865","https://openalex.org/W2117442182","https://openalex.org/W2964954556","https://openalex.org/W2762689969","https://openalex.org/W2969228573","https://openalex.org/W2971088694","https://openalex.org/W2965594636","https://openalex.org/W2912550626"],"abstract_inverted_index":{"Object":[0],"tracking":[1,36],"is":[2,12,39,53,86,97],"a":[3,33,66],"problem":[4],"about":[5],"computer":[6],"vision":[7],"and":[8,25,49,71,75,96,108],"image":[9],"understanding.":[10],"It":[11],"widely":[13],"used":[14],"in":[15,92],"the":[16,77,84,90,93,100],"field":[17],"of":[18,27,103],"military":[19],"navigation,":[20],"traffic":[21],"control,":[22],"video":[23,94],"surveillance":[24],"security":[26],"public":[28],"life.":[29],"In":[30],"this":[31],"paper,":[32],"new":[34],"object":[35],"algorithm,":[37],"which":[38],"based":[40],"on":[41],"Bayesian":[42],"Filter":[43],"framework,":[44],"convolution":[45],"neural":[46],"network":[47],"(CNN)":[48],"KLP":[50,72],"Optical":[51,73],"Flow":[52],"proposed.":[54],"Our":[55],"method":[56,63],"comes":[57],"up":[58],"with":[59],"an":[60],"adaptive":[61],"ingrate":[62],"to":[64,88,99],"introduce":[65],"competition":[67],"mechanism":[68],"between":[69],"CNN":[70],"flow":[74],"compensate":[76],"over-fitting.":[78],"The":[79],"experimental":[80],"results":[81],"show":[82],"that":[83],"algorithm":[85],"able":[87],"track":[89],"target":[91],"stream":[95],"robust":[98],"challenging":[101],"aspect":[102],"Motion":[104],"Blur,":[105],"Scale":[106],"Variation":[107],"Fast":[109],"Motion.":[110]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}